Rajesh Kaluri
VIT University
43 Papers
59 Citations
Rajesh Kaluri is an academic researcher from VIT University. The author has contributed to research in topics: Computer science & Feature extraction. The author has an hindex of 11, co-authored 29 publications.
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Papers
Analysis of Dimensionality Reduction Techniques on Big Data
G. Thippa Reddy,M. Praveen Kumar Reddy,Kuruva Lakshmanna,Rajesh Kaluri,Dharmendra Singh Rajput,Gautam Srivastava,Thar Baker +6 more
TL;DR: Two of the prominent dimensionality reduction techniques, Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA) are investigated on four popular Machine Learning (ML) algorithms using publicly available Cardiotocography dataset from University of California and Irvine Machine Learning Repository to prove that PCA outperforms LDA in all the measures.
Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis
G. Thippa Reddy,M. Praveen Kumar Reddy,Kuruva Lakshmanna,Dharmendra Singh Rajput,Rajesh Kaluri,Gautam Srivastava,Gautam Srivastava +6 more
TL;DR: Thorough experimental analysis shows that the adaptive genetic algorithm with fuzzy logic (AGAFL) model has outperformed current existing methods in diagnosing heart disease at early stages.
381
A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU
Sweta Bhattacharya,Siva Rama Krishnan S,Praveen Kumar Reddy Maddikunta,Rajesh Kaluri,Saurabh Singh,Thippa Reddy Gadekallu,Mamoun Alazab,Usman Tariq +7 more
TL;DR: A hybrid principal component analysis (PCA)-firefly based machine learning model to classify intrusion detection system (IDS) datasets and experimental results confirm the fact that the proposed model performs better than the existing machine learning models.
Hand gesture classification using a novel CNN-crow search algorithm
Thippa Reddy Gadekallu,Mamoun Alazab,Rajesh Kaluri,Praveen Kumar Reddy Maddikunta,Sweta Bhattacharya,Kuruva Lakshmanna,M. Parimala +6 more
TL;DR: A crow search-based convolution neural networks model has been implemented in gesture recognition pertaining to the HCI domain and generates 100 percent training and testing accuracy that justifies the superiority of the model against traditional state-of-the-art models.
KeySplitWatermark: Zero Watermarking Algorithm for Software Protection Against Cyber-Attacks
Celestine Iwendi,Zunera Jalil,Abdul Rehman Javed,G. Thippa Reddy,Rajesh Kaluri,Gautam Srivastava,Ohyun Jo +6 more
TL;DR: This paper proposes a novel blind Zero code based Watermark detection approach named KeySplitWatermark, for the protection of software against cyber-attacks, and shows that the proposed approach reports promising results against Cyber-attacks that are powerful and viable.
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